Efficient Spatially-Variant Convolution via Differentiable Sparse Kernel Complex

ArXi:2512.04556v2 Announce Type: replace-cross Image convolution with complex kernels is a fundamental operation in photography, scientific imaging, and animation effects, yet direct dense convolution is computationally prohibitive on resource-limited devices. Existing approximations, such as simulated annealing or low-rank decompositions, either lack efficiency or fail to capture non-convex kernels. We